Timsort

Benchmarks show timsort is up to 10x faster on reversed sequences and significantly quicker on sorted data compared to std::stable_sort, making it ideal for real-world datasets with inherent structure.

Maintains the relative order of equal elements, which is crucial for multi-key sorting operations, as highlighted in the key features.

Unlike std::ranges::stable_sort, it doesn't rely on extra heap memory for fallbacks, providing more predictable performance in memory-constrained environments.

gfx::timmerge demonstrates better performance than std::inplace_merge when handling complex data types like std::string, as evidenced by benchmark results showing faster times on sparsely overlapping subranges.